1. Remove Silence
  2. Filler words

Remove filler words

Um, uh and you know. Finding them needs speech recognition, not a level meter.

Why the free tool cannot do this

The tool on this site measures loudness. An “um” is as loud as any other word, so only a speech recognizer that hears the word can find it.

Remove filler words with QuellCut

  1. Import the video or audio into QuellCut.
  2. Open Enhancements and choose the language spoken in the recording.
  3. Turn on Remove filler words. Turn on Remove repetitions to keep only the final take of a repeated sentence.
  4. Review the cuts on the timeline, then export.

QuellCut uses Apple speech recognition, on the device wherever your language supports it.

In Premiere Pro

Premiere Pro’s transcript can mark filler words alongside pauses. Transcribe the sequence in the Text panel, filter the transcript for filler words and delete them there. Review each one: a deleted “like” can be a real word.

Sources: Adobe Community announcement.